Machine Learning Engineer
March 13
🔄 Hybrid – Bay Area
Description
• Design state-of-the-art machine learning models for the electricity grid • Research and implement ML algorithms and tools for generative time-series forecasting • Extend existing ML libraries and frameworks • Run tests and experiments to rapidly iterate and improve production models • Monitor and maintain the quality of existing models • Put creative approaches to the test with fast, revenue-impacting results • See your ideas tested and quickly proven in real-world settings • Be on the forefront of cutting-edge technology in a nascent space
Requirements
• Proven experience as a Machine Learning Engineer or similar role • Understanding of data structures, data modeling, and software architecture • Deep knowledge of math, probability, statistics, and algorithms • Fluency in Python and machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn, numpy, and pandas) • Excellent skills in communication and teamwork • Outstanding analytical and problem-solving skills • BSc in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or similar field; MS or PhD is a plus
Benefits
• Competitive salary ranging from $101,000 to $179,000 per year • Opportunity to work in a high-growth startup environment in the Bay Area and Houston • Culture that values teamwork, continuous learning, diversity, and inclusion
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